Feed-forward LPQNet based Automatic Alzheimer's Disease Detection Model

• Published in: Computers in biology and medicine Vol. 137; p. 104828
• Main Authors: Kaplan, Ela, Dogan, Sengul, Tuncer, Turker, Baygin, Mehmet, Altunisik, Erman
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.10.2021; Elsevier Limited
• Subjects: Accuracy; Alzheimer's disease; Alzheimer's disease detection; Brain; Classification; Computational neuroscience; Computed tomography; Datasets; Feature selection; Image classification; Intelligence; Internal Medicine; Learning algorithms; LPQNet; Machine learning; Magnetic resonance; Magnetic resonance imaging; Medical imaging; NCA; Neural networks; Neurodegenerative diseases; Neuroimaging; Other; Textural feature generation; Feature selection; Textural feature generation; LPQNet; NCA; Classification; Alzheimer's disease detection; textural feature generation; feature selection; Alzheimer’s disease detection

Alzheimer's disease (AD) is one of the most commonly seen brain ailments worldwide. Therefore, many researches have been presented about AD detection and cure. In addition, machine learning models have also been proposed to detect AD promptly. In this work, a new brain image dataset was collect...